Dumkal Institute of Engineering and Technology

Basantapur, India

Dumkal Institute of Engineering and Technology

Basantapur, India
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Kar S.,Dumkal Institute of Engineering and Technology | Majumder D.D.,Indian Statistical Institute | Majumder D.D.,Institute of Cybernetics Systems and Information Technology
International Journal of Clinical Oncology | Year: 2017

Background: Investigation of brain cancer can detect the abnormal growth of tissue in the brain using computed tomography (CT) scans and magnetic resonance (MR) images of patients. The proposed method classifies brain cancer on shape-based feature extraction as either benign or malignant. The authors used input variables such as shape distance (SD) and shape similarity measure (SSM) in fuzzy tools, and used fuzzy rules to evaluate the risk status as an output variable. We presented a classifier neural network system (NNS), namely Levenberg–Marquardt (LM), which is a feed-forward back-propagation learning algorithm used to train the NN for the status of brain cancer, if any, and which achieved satisfactory performance with 100% accuracy. Methods: The proposed methodology is divided into three phases. First, we find the region of interest (ROI) in the brain to detect the tumors using CT and MR images. Second, we extract the shape-based features, like SD and SSM, and grade the brain tumors as benign or malignant with the concept of SD function and SSM as shape-based parameters. Third, we classify the brain cancers using neuro-fuzzy tools. In this experiment, we used a 16-sample database with SSM (μ) values and classified the benignancy or malignancy of the brain tumor lesions using the neuro-fuzzy system (NFS). Results: We have developed a fuzzy expert system (FES) and NFS for early detection of brain cancer from CT and MR images. In this experiment, shape-based features, such as SD and SSM, were extracted from the ROI of brain tumor lesions. These shape-based features were considered as input variables and, using fuzzy rules, we were able to evaluate brain cancer risk values for each case. We used an NNS with LM, a feed-forward back-propagation learning algorithm, as a classifier for the diagnosis of brain cancer and achieved satisfactory performance with 100% accuracy. The proposed network was trained with MR image datasets of 16 cases. The 16 cases were fed to the ANN with 2 input neurons, one hidden layer of 10 neurons and 2 output neurons. Of the 16-sample database, 10 datasets for training, 3 datasets for validation, and 3 datasets for testing were used in the ANN classification system. From the SSM (µ) confusion matrix, the number of output datasets of true positive, false positive, true negative and false negative was 6, 0, 10, and 0, respectively. The sensitivity, specificity and accuracy were each equal to 100%. Conclusion: The method of diagnosing brain cancer presented in this study is a successful model to assist doctors in the screening and treatment of brain cancer patients. The presented FES successfully identified the presence of brain cancer in CT and MR images using the extracted shape-based features and the use of NFS for the identification of brain cancer in the early stages. From the analysis and diagnosis of the disease, the doctors can decide the stage of cancer and take the necessary steps for more accurate treatment. Here, we have presented an investigation and comparison study of the shape-based feature extraction method with the use of NFS for classifying brain tumors as showing normal or abnormal patterns. The results have proved that the shape-based features with the use of NFS can achieve a satisfactory performance with 100% accuracy. We intend to extend this methodology for the early detection of cancer in other regions such as the prostate region and human cervix. © 2017 Japan Society of Clinical Oncology


Sun G.,North University of China | Sarwardi S.,Aliah University | Pal P.J.,Dumkal Institute of Engineering and Technology | Rahman M.S.,Sahapur Santal High School
Journal of Biological Systems | Year: 2010

Formation of spatial patterns in prey-predator system is a central issue in ecology. In this paper Turing structure through diffusion driven instability in a modified Leslie-Gower and Holling-type II predator-prey model has been investigated. The parametric space for which Turing spatial structure takes place has been found out. Extensive numerical experiments have been performed to show the role of diffusion coefficients and other important parameters of the system in Turing instability that produces some elegant patterns that have not been observed in the earlier findings. Finally it is concluded that the diffusion can lead the prey population to become isolated in the two-dimensional spatial domain. © 2010 World Scientific Publishing Company.


Banerjee S.,Dr. B. C. Roy Engineering College | Dasgupta K.,Dumkal Institute of Engineering and Technology | Chanda C.K.,IIEST
International Journal of Electrical Power and Energy Systems | Year: 2016

Hydro-wind-thermal scheduling is one of the most important optimization problems in power system. An aim of the short term hydrothermal scheduling of power systems is to determine the optimal hydro, wind and thermal generations in order to meet the load demands over a scheduled horizon of time while satisfying the various constraints on the hydraulic, wind and thermal power system network. In this paper we present optimal hourly schedule of power generation in a hydro-wind-thermal power system applying PSO technique. The simulation results inform that the proposed PSO approach appears to be the powerful to minimize fuel cost and it has better solution quality and good convergence characteristics than other techniques. © 2016 Elsevier Ltd. All rights reserved.


Pal P.J.,Dumkal Institute of Engineering and Technology | Saha T.,Haldia Government College | Sen M.,Indian Institute of Technology Kanpur | Banerjee M.,Indian Institute of Technology Kanpur
Nonlinear Dynamics | Year: 2012

In this paper, we consider a delayed predator-prey system with intraspecific competition among predator and a strong Allee effect in prey population growth. Using the delay as bifurcation parameter, we investigate the stability of coexisting equilibrium point and show that Hopf-bifurcation can occur when the discrete delay crosses some critical magnitude. The direction of the Hopf-bifurcating periodic solution and its stability are determined by applying the normal form method and the centre manifold theory. In addition, special attention is paid to the global continuation of local Hopf bifurcations. Using the global Hopf-bifurcation result of Wu ({Trans. Am. Math. Soc.} 350:4799-4838, 1998) for functional differential equations, we establish the global existence of periodic solutions. Numerical simulations are carried out to validate the analytical findings. © 2011 Springer Science+Business Media B.V.


Pal P.J.,Dumkal Institute of Engineering and Technology | Mandal P.K.,Visva Bharati University | Lahiri K.K.,National Informatics Center Murshidabad District Unit
Nonlinear Dynamics | Year: 2014

In this article, we study a ratio-dependent predator-prey model described by a Holling type III functional response with time delay incorporated into the resource limitation of the prey logistic equation. This investigation includes the influence of intra-species competition among the predator species. All the equilibria are characterized. Qualitative behavior of the complicated singular point (0,0) in the interior of the first quadrant is investigated by means of a blow-up transformation. Uniform persistence, stability, and Hopf bifurcation at the positive equilibrium point of the system are examined. Global asymptotic stability analyses of the positive equilibrium point by the Bendixon-Dulac criterion for non-delayed model and by constructing a suitable Lyapunov functional for the delayed model are carried out separately. We perform a numerical simulation to validate the applicability of the proposed mathematical model and our analytical findings. © 2013 Springer Science+Business Media Dordrecht.


Pal P.J.,Dumkal Institute of Engineering and Technology | Mandal P.K.,Visva Bharati
Mathematics and Computers in Simulation | Year: 2014

The paper is concerned with a modified Leslie-Gower delayed predator-prey system where the growth of prey population is governed by Allee effect and the predator population consumes the prey according to Beddington-DeAngelis type functional response. The situation of bi-stability and existence of two interior equilibrium points for the proposed model system are addressed. The stability of the steady state together with its dependence on the magnitude of time delay has been obtained. The conditions that guarantee the occurrence of the Hopf bifurcation in presence of delay are demonstrated. Furthermore, the direction of Hopf bifurcation and the stability of the bifurcating periodic solutions are determined by the normal form theory and the center manifold theorem. It is shown that time delay is incapable of avoiding the situation of extinction of the prey species. Finally, some numerical simulations have been carried out in order to validate the assumptions of the model. © 2013 IMACS. Published by Elsevier B.V. All rights reserved.


Dasgupta K.,Dumkal Institute of Engineering and Technology | Banerjee S.,Dr. B. C. Roy Engineering College | Chanda C.K.,Indian Institute of Science
2015 International Conference on Industrial Instrumentation and Control, ICIC 2015 | Year: 2015

The economic load dispatch (ELD) plays an important role in power system operation and control. Different techniques have been used to solve these problems. Recently, the soft computing techniques have widely used in practical applications. This paper shows successful implementation of four evolutionary algorithms, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor approach (PSOCFA), particle swarm optimization with inertia weight factor approach (PSOIWA) and particle swarm optimization with constriction factor and inertia weight factor approach (PSOCFIWA) algorithms. Here ramp-rate limit constraints are considered to solve this problem. Here three cases have been considered. Four algorithms have been applied for each case. Optimum fuel cost is taken from each algorithm is compared for each cases (Case study I, II and III). © 2015 IEEE.


Dasgupta K.,Dumkal Institute of Engineering and Technology | Banerjee S.,Dr. B. C. Roy Engineering College | Chanda C.K.,Indian Institute of Science
2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016 | Year: 2016

Economic Load Dispatch (ELD) is one of the important optimization problem in advanced power system and control. In this paper, six and fifteen generating units in ELD problem has been considered. Prohibited zone and ramp rate limit constraints has been also considered. ELD problem has been solved using three types of optimization techniques. These optimization techniques are Particle Swarm Optimization (PSO), Particle Swarm Optimization with Constriction Factor and Inertia Weight factor Approach (PSOCFIWA) and Time Varying Acceleration Based Particle Swarm Optimization with Constriction Factor and Inertia Weight factor Approach (TVAC-PSOCFIWA) algorithms. Optimum result of each optimization techniques have been compared. © 2016 IEEE.


Das P.,Dumkal Institute of Engineering and Technology | Mondal B.,Institute of Management Sciences
18th International Symposium on VLSI Design and Test, VDAT 2014 | Year: 2014

The paper proposes a novel synthesis of reversible circuit through signature analysis. A set of grouping rules are proposed that are used for minimizing the output expressions and thus reducing the number of reversible gates to construct the circuit. Experimental results depict a huge amount of reduction on CNOT gate count and quantum cost. © 2014 IEEE.


Roy P.S.,Dumkal Institute of Engineering and Technology | Chakraborty S.,Indian Maritime University
Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013 | Year: 2013

This paper describes the enhancement of rectangular patch for GSM band of frequency 5.3 GHz. An I-slotted Microstrip patch antenna has been designed and simulated using IE3D 14.10. The proposed Microstrip Patch antenna is designed to support modes with resonance at 5.3 GHz and it was found that an increase of bandwidth of 20.45 % and achieved gain is 7.25 dBi. The antenna design and performance are analyzed using Zealand IE3D software(VSWR≤2). The antenna can be used for many modern communication systems. © 2013 IEEE.

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